Real-Time Search-Assisted Multiplexed Quantitative Proteomics Reveals System-Wide Translational Regulation of
Hiroko Kozuka-Hata1, Tomoko Hiroki1, Naoaki Miyamura1
1Medical Proteomics Laboratory, The Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Biomolecules
|June 28, 2023
Summary
This study reveals novel cancer drug targets by analyzing proteome-wide changes in response to suberoylanilide hydroxamic acid (SAHA). The research identifies new peptides from non-canonical short open reading frames (ORFs) and their regulation in cancer cells.
Area of Science:
- Proteomics
- Cancer Biology
- Epigenetics
Background:
- Abnormal histone deacetylase (HDAC) expression is linked to cancer progression, including angiogenesis, metastasis, and chemotherapy resistance.
- Suberoylanilide hydroxamic acid (SAHA) is a known pan-inhibitor of HDACs, investigated for epigenetic cancer therapy.
- Understanding drug-induced proteome dynamics is crucial for developing targeted cancer treatments.
Purpose of the Study:
- To establish a Real-Time Search (RTS)-assisted mass spectrometry platform for quantifying translated products from both canonical and non-canonical open reading frames (ORFs).
- To investigate the proteome-wide regulatory effects of suberoylanilide hydroxamic acid (SAHA) treatment in human cancer cells.
- To identify novel peptides and assess translational regulation in response to drug perturbation.
Main Methods:
- Development of a Real-Time Search (RTS)-assisted mass spectrometric platform for comprehensive proteomic analysis.
- Quantitative proteomic analysis of suberoylanilide hydroxamic acid (SAHA)-treated human HeLa cells.
- Utilized ribosome profiling data to identify peptides from short ORFs in non-coding and other RNA transcripts.
Main Results:
- Identification of approximately 5000 novel peptides encoded by short ORFs within presumed non-coding sequences, lncRNAs, and NMD transcripts.
- Demonstrated dose-dependent, selective translational regulation of a subset of non-canonical short ORFs upon SAHA treatment.
- Observed modulation of key cell cycle and proliferation-related molecules, including UBE2C, CENPF, and PRC1.
Conclusions:
- The study provides the first system-wide landscape of drug-perturbed translational modulation affecting both canonical and non-canonical proteomes in human cancer cells.
- The developed RTS-assisted platform enables deep proteomic profiling, uncovering previously unannotated translated products.
- Findings highlight the potential of targeting non-canonical ORFs and their regulatory pathways in cancer therapy.
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